The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

AI also supports reverse vaccinology, where pathogen genomes are computationally analyzed to identify immunogenic regions ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Decision-making often involves trial and error, but conventional models assume we always act optimally based on past ...

Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful ...